-----------------------------------------------------------------------------------
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC3_Pa
> nelA.log
  log type:  text
 opened on:  19 Feb 2024, 03:15:33

. wildbootstrap regress verified_tot treatment final_stratum_id1-final_stratum_id13
>  b_verified_tot, cluster(uid_cluster) reps(5000) rseed(13915183)

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10.........20..... done (25)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.........30......... done (39)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30.........40.. done (42)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.........30.. done (32)
  Upper bound: .........10.........20.........30 done (30)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20.........30.........40.........50.........60..
> .......70.........80.........90.........100 done (100)
lower confidence bound not found
  Upper bound: .........10.........20.........30...... done (36)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for b_verified_tot = 0 ...
Computing confidence interval for b_verified_tot
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Wild cluster bootstrap                             Number of obs      = 1,637
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  25.2
                                                                  max =    28
-----------------------------------------------------------------------------
            verified_tot |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.1028447   -0.73   0.515    -.410266    .2189555
   final_stratum_id1 = 0 |  -.3878974   -0.58   0.708   -2.699873    1.950873
   final_stratum_id2 = 0 |    .567504    0.75   0.616   -1.256615    2.679412
   final_stratum_id3 = 0 |   .5099305    0.76   0.714   -2.483504     3.04096
   final_stratum_id4 = 0 |   2.414659    3.83   0.184   -14.72396    278.8261
   final_stratum_id5 = 0 |   -.778893   -1.19   0.602   -2.285879     1.22779
   final_stratum_id6 = 0 |  -1.053476   -1.61   0.318   -2.591868    .5549141
   final_stratum_id7 = 0 |  -.1917974   -0.29   0.720   -7.446136     4.15761
   final_stratum_id8 = 0 |  -.9311274   -1.44   0.458   -2.302081    .3617777
   final_stratum_id9 = 0 |  -1.029317   -1.61   0.353   -2.387214    .3068219
  final_stratum_id10 = 0 |  -.9285026   -1.40   0.450   -2.568597     .979496
  final_stratum_id11 = 0 |   -.881963   -1.34   0.485   -2.290922    .6309851
  final_stratum_id12 = 0 |  -.3658241   -0.51   0.794           .    53.03357
  final_stratum_id13 = 0 |  -1.064246   -1.65   0.338   -2.641279    .5777983
      b_verified_tot = 0 |   .3174254    3.53   0.002    .1133207    .5255336
-----------------------------------------------------------------------------

. wildbootstrap regress verified_tot treatment final_stratum_id1-final_stratum_id13
>  b_verified_tot $hw_controls_b, cluster(uid_cluster) reps(5000) rseed(13915183)
note: b_age_dum_ omitted because of collinearity.
note: b_jobs_bef_oa_dum_ omitted because of collinearity.
note: male_dum_ omitted because of collinearity.
note: gen_caste_dum_ omitted because of collinearity.
note: hindu_dum_ omitted because of collinearity.
note: tertiary_dum_ omitted because of collinearity.
note: ownhouse_dum_ omitted because of collinearity.

Performing 5,000 replications for p-value for treatment = 0 ...
Computing confidence interval for treatment
  Lower bound: .........10........ done (18)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id1 = 0 ...
Computing confidence interval for final_stratum_id1
  Lower bound: .........10.........20.........30....... done (37)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id2 = 0 ...
Computing confidence interval for final_stratum_id2
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for final_stratum_id3 = 0 ...
Computing confidence interval for final_stratum_id3
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id4 = 0 ...
Computing confidence interval for final_stratum_id4
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id5 = 0 ...
Computing confidence interval for final_stratum_id5
  Lower bound: .........10.........20.........30.... done (34)
  Upper bound: .........10.........20.........30. done (31)

Performing 5,000 replications for p-value for final_stratum_id6 = 0 ...
Computing confidence interval for final_stratum_id6
  Lower bound: .........10.........20.........30. done (31)
  Upper bound: .........10.........20...... done (26)

Performing 5,000 replications for p-value for final_stratum_id7 = 0 ...
Computing confidence interval for final_stratum_id7
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for final_stratum_id8 = 0 ...
Computing confidence interval for final_stratum_id8
  Lower bound: .........10.........20.........30... done (33)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id9 = 0 ...
Computing confidence interval for final_stratum_id9
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for final_stratum_id10 = 0 ...
Computing confidence interval for final_stratum_id10
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20.........30.... done (34)

Performing 5,000 replications for p-value for final_stratum_id11 = 0 ...
Computing confidence interval for final_stratum_id11
  Lower bound: .........10.........20.... done (24)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for final_stratum_id12 = 0 ...
Computing confidence interval for final_stratum_id12
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20..... done (25)

Performing 5,000 replications for p-value for final_stratum_id13 = 0 ...
Computing confidence interval for final_stratum_id13
  Lower bound: .........10.........20.........30 done (30)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for b_verified_tot = 0 ...
Computing confidence interval for b_verified_tot
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10........ done (18)

Performing 5,000 replications for p-value for b_age_ = 0 ...
Computing confidence interval for b_age_
  Lower bound: .........10.........20. done (21)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for b_jobs_bef_oa_ = 0 ...
Computing confidence interval for b_jobs_bef_oa_
  Lower bound: .........10......... done (19)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for male_ = 0 ...
Computing confidence interval for male_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20 done (20)

Performing 5,000 replications for p-value for gen_caste_ = 0 ...
Computing confidence interval for gen_caste_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10.........20.. done (22)

Performing 5,000 replications for p-value for hindu_ = 0 ...
Computing confidence interval for hindu_
  Lower bound: .........10.........20.. done (22)
  Upper bound: .........10.........20. done (21)

Performing 5,000 replications for p-value for twelveandbelow_ = 0 ...
Computing confidence interval for twelveandbelow_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20........ done (28)

Performing 5,000 replications for p-value for tertiary_ = 0 ...
Computing confidence interval for tertiary_
  Lower bound: .........10.........20......... done (29)
  Upper bound: .........10.........20....... done (27)

Performing 5,000 replications for p-value for hhd_size_ = 0 ...
Computing confidence interval for hhd_size_
  Lower bound: .........10.........20....... done (27)
  Upper bound: .........10......... done (19)

Performing 5,000 replications for p-value for ownhouse_ = 0 ...
Computing confidence interval for ownhouse_
  Lower bound: .........10.........20 done (20)
  Upper bound: .........10.........20... done (23)

Performing 5,000 replications for p-value for twelveandbelow_dum_ = 0 ...
Computing confidence interval for twelveandbelow_dum_
  Lower bound: .........10.........20........ done (28)
  Upper bound: .........10.........20.... done (24)

Performing 5,000 replications for p-value for hhd_size_dum_ = 0 ...
Computing confidence interval for hhd_size_dum_
  Lower bound: .........10.........20...... done (26)
  Upper bound: .........10.........20.. done (22)

Wild cluster bootstrap                             Number of obs      = 1,637
Linear regression                                  Number of clusters =    65
                                                   Cluster size:
Cluster variable: uid_cluster                                     min =    12
Error weight: Rademacher                                          avg =  25.2
                                                                  max =    28
-----------------------------------------------------------------------------
            verified_tot |   Estimate      t  p-value    [95% conf. interval]
-------------------------+---------------------------------------------------
constraints              |
           treatment = 0 |  -.1591453   -0.85   0.527   -.6359482    .3478605
   final_stratum_id1 = 0 |  -.4184699   -0.55   0.670   -2.574048    8.669354
   final_stratum_id2 = 0 |   .5685548    0.69   0.687   -2.286802    2.809808
   final_stratum_id3 = 0 |   .4382597    0.59   0.773   -2.322484    3.243301
   final_stratum_id4 = 0 |   2.529141    3.50   0.192   -7.708252    54.08237
   final_stratum_id5 = 0 |  -.7637189   -1.02   0.566   -2.567692    1.469167
   final_stratum_id6 = 0 |  -1.076701   -1.45   0.380   -3.239209    .8668606
   final_stratum_id7 = 0 |  -.1833227   -0.25   0.785   -3.124578    2.169076
   final_stratum_id8 = 0 |  -.8738961   -1.13   0.514    -2.96089    1.008112
   final_stratum_id9 = 0 |  -1.106799   -1.54   0.391   -2.932215     .396249
  final_stratum_id10 = 0 |  -.9283756   -1.26   0.527   -2.970173    .8195762
  final_stratum_id11 = 0 |  -.8172754   -1.13   0.528   -2.693396    .8628361
  final_stratum_id12 = 0 |  -.2184807   -0.28   0.816   -3.243108    2.876488
  final_stratum_id13 = 0 |  -1.121678   -1.58   0.458   -3.040851    .9385719
      b_verified_tot = 0 |   .3056192    3.65   0.002    .1178305    .4963817
              b_age_ = 0 |    .017361    1.54   0.195   -.0098336    .0447958
      b_jobs_bef_oa_ = 0 |  -.1008966   -0.53   0.680    -.569687    .3565616
               male_ = 0 |   .1067311    0.47   0.702   -.4748261    .7387641
          gen_caste_ = 0 |   .0965817    0.54   0.659   -.3492664    .5417927
              hindu_ = 0 |  -.0355055   -0.15   0.908   -.6856951    .6182059
     twelveandbelow_ = 0 |   .1596242    0.32   0.850   -6.779051    8.678897
           tertiary_ = 0 |   .3483963    0.68   0.669   -4.867339     6.42236
           hhd_size_ = 0 |   .0563798    1.65   0.202   -.0299771    .1513472
           ownhouse_ = 0 |    .012731    0.08   0.969   -.3575599    .3852718
 twelveandbelow_dum_ = 0 |   .1962758    0.33   0.825    -3.20681     3.66119
       hhd_size_dum_ = 0 |   .3556726    0.79   0.552   -1.587297     2.43713
-----------------------------------------------------------------------------

. log close
      name:  <unnamed>
       log:  /Users/jeanlavallee/Dropbox/Datapub_RESTAT/Results/Appendix/TableC3_Pa
> nelA.log
  log type:  text
 closed on:  19 Feb 2024, 03:15:54
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